ArticlePloS one2013
A computational model for collective cellular motion in three dimensions: general framework and case study for cell pair dynamics.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Bridging from single to collective cell migration: A review of models and links to experiments.PLoS computational biology · 2020Review
- Numerical investigation of the role of intercellular interactions on collective epithelial cell migration.Biomechanics and modeling in mechanobiology · 2018Article
- Computational study of cell adhesion and rolling in flow channel by meshfree method.Computer methods in biomechanics and biomedical engineering · 2017Article
- Article
- Multiscale mechanobiology: computational models for integrating molecules to multicellular systems.Integrative biology : quantitative biosciences from nano to macro · 2015Review
- A mathematical model of collective cell migration in a three-dimensional, heterogeneous environment.PloS one · 2015Article
- Interpreting scratch assays using pair density dynamics and approximate Bayesian computation.Open biology · 2014Article
- Physical explanation of coupled cell-cell rotational behavior and interfacial morphology: a particle dynamics model.Biophysical journal · 2013Article
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Authors and funding
4 authors.
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Abstract
Cell migration in healthy and diseased systems is a combination of single and collective cell motion. While single cell motion has received considerable attention, our understanding of collective cell motion remains elusive. A new computational framework for the migration of groups of cells in three dimensions is presented, which focuses on the forces acting at the microscopic scale and the interactions between cells and their extracellular matrix (ECM) environment. Cell-cell adhesion, resistance due to the ECM and the factors regulating the propulsion of each cell through the matrix are considered. In particular, our approach emphasizes the role of receptors that mediate cell-cell and cell-matrix interactions, and examines how variation in their properties induces changes in cellular motion. As an important case study, we analyze two interacting cells. Our results show that the dynamics of cell pairs depends on the magnitude and the stochastic nature of the forces. Stronger intercellular stability is generally promoted by surface receptors that move. We also demonstrate that matrix resistance, cellular stiffness and intensity of adhesion contribute to migration behaviors in different ways, with memory effects present that can alter pair motility. If adhesion weakens with time, our findings show that cell pair break-up depends strongly on the way cells interact with the matrix. Finally, the motility for cells in a larger cluster (size 50 cells) is examined to illustrate the full capabilities of the model and to stress the role of cellular pairs in complex cellular structures. Overall, our framework shows how properties of cells and their environment influence the stability and motility of cellular assemblies. This is an important step in the advancement of the understanding of collective motility, and can contribute to knowledge of complex biological processes involving migration, aggregation and detachment of cells in healthy and diseased systems.
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